code: def quantile(
      a: paddle.Tensor,
      q: Union[paddle.Tensor, float],
      /,
      *,
      axis: Optional[Union[Sequence[int], int]] = None,
      keepdims: Optional[bool] = False,
      interpolation: Optional[str] = "linear",
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      # added the nearest_jax mode to enable jax-like calculations for method="nearest"
      return _compute_quantile_wrapper(
          x=a,
          q=q,
          axis=axis,
          keepdims=keepdims,
          interpolation=interpolation,
      )
  
imports: from typing import Optional, Union, Tuple, Sequence, Any
  import paddle
  import ivy.functional.backends.paddle
  import ivy
  from copy import deepcopy
  from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_supported_dtypes
  from .None import backend_version
label_desc: Use image node_id 11 for calling a global function with example usage: quantile() and returns: _compute_quantile_wrapper